2014
DOI: 10.5547/01956574.35.3.6
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Do Day-Ahead Electricity Prices Reflect Economic Fundamentals? Evidence from the California ISO

Abstract: This paper hypothesizes that if day-ahead markets for electricity are efficient, then the day-ahead prices will reflect the processed information and expectations of all market participants regarding the next day’s electricity load and thus the prices may be useful in actually predicting the next day’s load. We test this hypothesis using data for the PG&E aggregation area in the California ISO. The results provide evidence of a positive and significant relationship between the hourly day-ahead electricity pric… Show more

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Cited by 19 publications
(19 citation statements)
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“…The electricity market variables include the day‐ahead spot price of electricity relative to the price of coal, the day‐ahead spot price relative to the price of natural gas, the coefficient of variation in the day‐ahead spot price of electricity, and measures of the available supply of balancing power. Inclusion of these market variables is supported by Forbes and Zampelli (), who found evidence that the day‐ahead market for electricity in California is informationally efficient. The power grid variables include scheduled generation by fuel type, forecasted load, the coefficient of variation in the forecasted load for the day, an ex‐ante measure of the electricity market imbalance, the level of commercially scheduled electricity imports from Scotland, the level of commercially scheduled exports to Scotland, the level of commercially scheduled imports from France, and the level of commercially scheduled exports to France.…”
Section: An Econometric Model Of the Electricity Imbalancementioning
confidence: 86%
“…The electricity market variables include the day‐ahead spot price of electricity relative to the price of coal, the day‐ahead spot price relative to the price of natural gas, the coefficient of variation in the day‐ahead spot price of electricity, and measures of the available supply of balancing power. Inclusion of these market variables is supported by Forbes and Zampelli (), who found evidence that the day‐ahead market for electricity in California is informationally efficient. The power grid variables include scheduled generation by fuel type, forecasted load, the coefficient of variation in the forecasted load for the day, an ex‐ante measure of the electricity market imbalance, the level of commercially scheduled electricity imports from Scotland, the level of commercially scheduled exports to Scotland, the level of commercially scheduled imports from France, and the level of commercially scheduled exports to France.…”
Section: An Econometric Model Of the Electricity Imbalancementioning
confidence: 86%
“…This follows from Forbes and Zampelli (2014), who have reported evidence that the day-ahead market for electricity in California is informationally efficient in the sense that the day-ahead price relative to the MWh equivalent cost of natural gas is a leading indicator of the operational outcome. Ideally, the model would make use of scheduled generation data by fuel.…”
Section: Space Weathermentioning
confidence: 95%
“…Specifically, the model makes use of the hourly day-ahead price variable for NYISO's interchange with Ontario weighted by the spot price of natural gas. This follows from Forbes and Zampelli (2014), who have reported evidence that the day-ahead market for electricity in California is informationally efficient in the sense that the day-ahead price relative to the MWh equivalent cost of natural gas is a leading indicator of the operational outcome. To control for possible differences in operating performance between coal and gas-fired generating stations, the MWh equivalent price of natural gas relative to the MWh equivalent price of coal is also employed as an explanatory variable.…”
Section: Space Weathermentioning
confidence: 95%
“…solar generation ramps that can be anticipated). In Central Western Europe (CWE) subsequently continuous bilateral and exchange based trading of hourly and 15mn products is pursued until gate closure, typically 30mn before real-time 5 .…”
Section: The Flexibility Challengementioning
confidence: 99%